Alignment with DF goals (BGI, Platform growth, community)

• BGI: Builds medical diagnostic intelligence using ethical data methods.

• Platform Growth: Introduces new medical use cases for AI agents.

Problem description

Medical datasets are isolated due to privacy concerns, which prevents large scale AI model development. This is especially harmful for rare diseases or underrepresented populations, where model generalization is poor.

Proposed Solutions

Create an open-source framework allowing hospitals or clinics to co-train diagnostic AI models using secure, federated learning. The system should include privacy protection mechanisms like differential privacy and secure aggregation. It should also provide tools to validate the model’s accuracy and fairness across all participant sites. Ideal use cases include early cancer detection, maternal health, or disease outbreak prediction.